ML Engineer
IntegrateUs LLC ·Austin, TXClosing in
$80 - $90 Hourly
Term:Full timeWork:OnsiteRemote
Type:EmployeeContract
We are looking for a Full-time contractor or employee for a ML Engineer role at one of our client site.
A talented Machine Learning Engineer to join our dynamic team at [Company Name]. In this role, you will be responsible for creating algorithms and predictive models that are crucial for the operational success of our products and services. You will work closely with data scientists, software developers, and product managers to implement solutions that are optimized and scalable.
A talented Machine Learning Engineer to join our dynamic team at [Company Name]. In this role, you will be responsible for creating algorithms and predictive models that are crucial for the operational success of our products and services. You will work closely with data scientists, software developers, and product managers to implement solutions that are optimized and scalable.
Skills(Required) :
- Experience in AI and ML technologies and platforms.
- Experience using latest AI toolst
- Programming language with Python and other AI languages
Skills(Preferred) :
- PhD or Masters in a related field.
- Experience with cloud services (AWS, Google Cloud, Azure).
- Experience with big data technologies (Hadoop, Spark, Kafka, etc.).
- Knowledge of SQL and NoSQL databases.
- Experience developing in Python
- Experience designing and using REST APIs
- Experience with development frameworks.
- Experience using the Linux command line for development
- Knowledge of HTML, CSS, JavaScript, and Python for creation of web pages/web sites, with ability to code for web browsers across multiple platforms and versions
Key Responsibilities:
- Design and develop machine learning systems and predictive models.
- Analyze large and complex data sets to derive valuable insights.
- Implement machine learning applications according to requirements.
- Recommend and implement improvements to existing machine learning systems.
- Collaborate with data engineers and software developers to integrate machine learning solutions into broader systems.
- Conduct machine learning tests and experiments to monitor the performance and effectiveness of models.
- Maintain and update machine learning algorithms post-deployment.
- Keep abreast of developments in the field of machine learning and introduce new technologies and methodologies as applicable.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Proven experience as a Machine Learning Engineer or similar role.
- Understanding of data structures, data modeling, and software architecture.
- Deep knowledge of math, probability, statistics, and algorithms.
- Ability to write robust code in Python, Java, or R.
- Experience with machine learning frameworks (like Keras or TensorFlow) and libraries (like scikit-learn).
- Excellent communication skills.
- Ability to work in a team.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and advancement.
- A culture of innovation and continuous learning.
- Flexible work hours and remote work options.